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Xiaolong Wang is an assistant professor at UC San Diego in the ECE department. He is affiliated with the CSE department, Center for Visual Computing, Contextual Robotics Institute, and Artificial Intelligence Group. Additionally, he is a member of the Robotics team in the TILOS NSF AI Institute.
He was a postdoctoral fellow at UC Berkeley with Alexei Efros and Trevor Darrell. He received a PhD in robotics from the Carnegie Mellon University, at where he worked with Abhinav Gupta.
Pete Florence is a Research Scientist at Google Research. He works on robotics, and AI in general, particularly computer vision and natural language.
Before Google, he did his PhD in Computer Science at MIT with Russ Tedrake.
He Wang is a tenure-track Assistant Professor in the Center on Frontiers of Computing Studies (CFCS) at Peking University, where he leads the Embodied Perception and InteraCtion (EPIC) Lab.
His research interests span 3D vision, robotics, and machine learning. His research objective is to endow embodied agents working in complex real-world scenes with generalizable 3D vision and interaction policies. Prior to joining Peking University, he received his PhD from Stanford University advised by Prof. Leonidas J. Guibas in 2021 and his Bachelor's degree from Tsinghua University in 2014.
Young Min Kim is an Associate Professor at Seoul National University. She earned M.S. and Ph.D. in Electrical Engineering from Stanford University where she worked with Sebastian Thrun. She was later a research scientist at Korea Institute of Science and Technology and a visiting researcher at the University of Texas at Austin.
Her research interests are 3D vision, computer graphics, computer vision, and geometric analysis.
Animesh Garg is an Assistant Professor of Computer Science at University of Toronto and a Faculty Member at the Vector Institute. He directs the UofT People, AI and Robotics (PAIR) group. He is affiliated with Mechanical and Industrial Engineering (courtesy) and UofT Robotics Institute. He is also a Sr. Research Scientist at Nvidia.
He earned M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. He worked with Ken Goldberg at Berkeley AI Research (BAIR). He also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. He was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.
Ahmed H. Qureshi is an Assistant Professor in the Department of Computer Science at Purdue University, where he directs the Cognitive Robot Autonomy and Learning (CoRAL) Lab. His group performs fundamental and applied research in artificial intelligence, machine learning, and control to design and develop intelligent robotic systems.
Previously, he received his Ph.D. in Intelligent Systems, Robotics, and Control from the University of California San Diego, M.S. in Engineering from Osaka University, Japan, and B.S. in Electrical Engineering from NUST, Pakistan.
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